Applied Machine Learning Engineer

DSAID applies data science and AI knowledge across the space enterprise, to Aerospace enterprise capabilities, and towards corporate workforce development and strategic focus areas Machine Learning Engineers learn and develop their skills by working on teams spanning disciplines, experience levels, and organizational boundaries. Duties, responsibilities and activities may change, or new ones may be assigned as needed

Machine learning engineers must maintain a commitment to ongoing learning in order to stay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains, such as physics, math, and/or computer science, as well as an understanding of the existing systems and future objectives of government missions.
* Minimum Requirements for the Machine Learning Engineer
- Senior Member of Technical Staff
* 5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain in at least two different programming languages (e.g. Python, R, C/C++), and ML frameworks including familiarity with machine learning and deep learning libraries in Python Strong proficiency

Experience with and understanding of software engineering concepts with an AI focus (MLOps/Dev Ops, ML Development Lifecycle, data structures, etc.)Working knowledge of Unix/Linux operating systems This position requires ability to obtain and maintain a security clearance, which is issued by the US government. U.S citizenship is required to obtain a security clearance.
* In addition to the above, the minimum requirements for the
* 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain Demonstrated experience architecting, designing, or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration Hands on

Experience with MLOps and Data Engineering tools (e.g., MLFlow, Kubeflow, Neptune, Airflow, DVC)
Experience in designing or managing enterprise-level ML platforms and production-grade ML models at scale Familiarity with High Performance Computing hardware for ML (GPUs, TPUs), CUDA programming, and advanced ML optimization techniques and architectures

Demonstrated ability to exercise judgement and critical thinking in a scientific discipline Experience implementing and guiding teams toward software development best practices Experience in SQL, No

SQL, Cypher and other big data querying languages

Experience with big data frameworks (Hadoop, Spark, Flink etc.) Familiarity with data pipelining and streaming technologies (Apache Kafka, temporal, etc.)Experience deploying ML models on cloud platforms (AWS, Azure, etc.)
* Comprehensive health care and wellness plans
* Paid holidays, sick time, and vacation
* Standard and alternate work schedules, including telework options
* 401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
* Flexible spending accounts
* Variable pay program for exceptional contributions
* Relocation assistance
* Professional growth and development programs to help advance your career
* Education assistance programs
* A work environment built on teamwork, flexibility, and respect
*** Right Place
*** The Aerospace Corporation has over 26  nationwide, which allows us to build a workforce that will nurture the best ideas, and generate the most novel innovations and solutions to our nation’s toughest space enterprise challenges.
*** Right Path
*** Aerospace covers all stages of the space lifecycle, from concept to operations. We believe our people are our most valuable resource and that’s why we propel our employees forward in their careers through ongoing education, training, and .
*** Right Purpose
*** We can all serve a  much greater than ourselves, and at Aerospace that is exactly what we do. By hiring the industry’s most preeminent scientists and engineers, Aerospace advances emerging technologies that protect some of the most critical missions on Earth and above it.

Return to the .Aerospace employees working in organizations with technical responsibilities are required to obtain a Security Clearance.  U.S. citizenship is required for those positions.
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